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Master Apache Spark and Scala skills with CertZip Apache Spark and Scala Certification Training and lead in your professional life.
This Apache Spark training is created to help you master Apache Spark and the Spark Ecosystem, including Spark RDD, Spark SQL, and Spark MLlib. This Training is live, instructor-led & allows you to master key Apache Spark concepts with hands-on demonstrations.
Spark and Scala Certification Course Overview. This Spark certification training allows you to grasp the fundamental skills of the Apache Spark open-source framework and Scala programming language, having Spark Streaming, Spark SQL, machine learning programming, GraphX programming, and Shell Scripting Spark.
Spark is primarily written in Scala. Most Spark tutorials and code samples are documented in Scala since it is the most prevalent language among Spark developers. Scala code is going to be type-safe, which has some benefits.
Apache Spark is an open-source foundation project. It enables us to perform in-memory analytics on large-scale data sets, and Spark can address some of the limitations of MapReduce.
High demand for Spark Developers in market It makes it easier to program and run. There is a massive opening of job opportunities for those who attain experience in Spark. If anyone wants to make their career in big data technology, they must learn apache spark. Only understanding Spark will extend a lot of opportunities.
Apache Spark's critical use case is its ability to process streaming data. With so much data being processed daily, it has become essential for companies to be able to stream and analyze it all in real-time. And Spark Streaming can handle this extra workload.
Apache Spark alone is a potent tool, and it is in high demand in the job market. If integrated with other means of Big Data, it makes a strong portfolio.
Apache Spark is a data processing framework that can quickly perform processing tasks on substantial data sets and distribute data processing tasks across multiple computers, either on its own or in tandem with other distributed computing tools.
Understand Big Data and its components such as HDFS. In this Apache Spark training module, you will learn about the Hadoop Cluster Architecture, Introduction to Spark and the difference between batch processing and real-time processing.
Learn the basics of Scala that are required for programming Spark applications. In this Apache Spark course module, you will also learn about the basic constructs of Scala such as variable types, control structures, collections such as Array, ArrayBuffer, Map, Lists, and many more.
In this Scala course module, you will learn about object-oriented programming and functional programming techniques in Scala.
Understand Apache Spark and learn how to develop Spark applications. At the end, you will learn how to perform data ingestion using Sqoop.
Get an insight of Spark - RDDs and other RDD related manipulations for implementing business logics (Transformations, Actions, and Functions performed on RDD).
In this Apache Spark online training module, you will learn about SparkSQL which is used to process structured data with SQL queries, data-frames and datasets in Spark SQL along with different kind of SQL operations performed on the data-frames. You will also learn about Spark and Hive integration. Topics:
Learn why machine learning is needed, different Machine Learning techniques/algorithms, and SparK MLlib.
Implement various algorithms supported by MLlib such as Linear Regression, Decision Tree, Random Forest and many more.
Learning Objectives: In this Apache Spark and Scala training module, you will learn about the different streaming data sources such as Kafka and flume. At the end of the module, you will be able to create a spark streaming application.
Spark can be 100x more speedy than Hadoop for large-scale data processing by exploiting in-memory computing and other optimizations. Ease of Use. Spark has easy-to-use APIs for working on large datasets. A Unified Engine.
Apache Spark is written in Scala. Many data engineers adopting Spark also adopt Scala, while Python and R remain prevalent with data scientists. Fortunately, you don't need to master Scala to use Spark effectively.
To better understand Apache Spark and Scala, one must learn as per the curriculum.
An Apache Spark developer's responsibilities include making Spark/Scala jobs for data aggregation and transformation, creating unit tests for Spark helper and transformations methods, using all code writing Scaladoc-style documentation, designing data processing pipelines.
Big Data framing and analysis · Programming languages: Python, Scala, Java · Spark SQL · Spark Streaming.
Understanding Spark is not challenging if you have a basic knowledge of Python or any programming language, as Spark delivers APIs in Java, Python, and Scala.
CertZip Support Team is for a lifetime and will be open 24/7 to help with your questions during and after completing the Apache Spark and Scala Certification Training.
By enrolling in the Apache Spark and Scala Training and completing the Module, you can get the CertZip Apache Kafka Training Certification.
Every certification training session is followed by a quiz to assess your course learning.
The Mock Tests Are Arranged To Help You Prepare For The Certification Examination.
A lifetime access to LMS is provided where presentations, quizzes, installation guides & class recordings are available.
A 24x7 online support team is available to resolve all your technical queries, through a ticket-based tracking system.
For our learners, we have a community forum that further facilitates learning through peer interaction and knowledge sharing.
Successfully complete your final course project and CertZip will provide you with a completion certification.
Apache Spark and Scala Training demonstrate that the holder has the proficiency and aptitudes needed to work with Apache Kafka.
This Training would help you clear the CCA Spark and Hadoop Developer (CCA175) Examination. You will understand the basics of Big Data and Hadoop, and you will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce.
If you're ready for a career in a stable and high-paying field, Apache Spark and Scala might be right for you, and this Certification is the place to start.
Discover your perfect program in our courses.
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